Skip to main content
PyCon US is happening May 14th-22nd in Pittsburgh, PA USA.  Learn more

CellO

Project description

CellO (Cell Ontology-based classification) is a Python package for performing cell type classification of human RNA-seq data. CellO makes hierarchical predictions against the Cell Ontology (http://www.obofoundry.org/ontology/cl.html). These classifiers were trained on nearly all of the human primary cell, bulk RNA-seq data in the NCBI’s Sequence Read Archive.

For instructions on installing and running CellO, see the GitHub repository: https://github.com/deweylab/CellO

For more details regarding the underlying method, see the paper:

Bernstein, M.N., Ma, J., Gleicher, M., Dewey, C.N. (2020). CellO: Comprehensive and hierarchical cell type classification of human cells with the Cell Ontology. iScience, 24(1), 101913. https://doi.org/10.1016/j.isci.2020.101913.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page